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muses
DEPTHModel: SD 2.1. Mari
Split: full
Variant:
_mari_metric_clearFiles: 333
Metrics: 14
Compare with:
absrel / median
0.3060
absrel / p90
0.6913
absrel / median
0.3049
absrel / p90
0.6892
rmse / median
3.6973
rmse / p90
14.6032
silog / mean
0.4227
silog / median
0.3088
silog / p90
0.7872
absrel / median
0.4580
absrel / p90
0.7258
rmse / median
20.5741
rmse / p90
36.2327
silog / mean
0.3050
silog / median
0.6043
silog / p90
1.2635
absrel / median
0.2683
absrel / p90
0.6030
rmse / median
4.0600
rmse / p90
13.5074
silog / mean
0.3701
silog / median
0.2810
silog / p90
0.7835
absrel / median
0.3636
absrel / p90
0.8920
rmse / median
2.7212
rmse / p90
6.3307
silog / mean
0.2063
silog / median
0.3234
silog / p90
0.6451
rmse / median
3.7130
rmse / p90
14.8852
silog / mean
0.4259
silog / median
0.3100
silog / p90
0.7941
image mean / absrel
0.3878
all / absrel
0.3872
all / delta1
0.3739
all / delta2
0.6796
all / delta3
0.8497
all / log10
0.1647
all / mae
6.0248
all / rmse
9.2540
all / rmse log
0.4781
all / silog
0.4227
all / sqrel
5.1282
image mean / delta1
0.3730
image mean / delta2
0.6780
image mean / delta3
0.8479
far / absrel
0.4897
far / delta1
0.1127
far / delta2
0.2787
far / delta3
0.4881
far / log10
0.3216
far / mae
21.7817
far / rmse
23.5313
far / rmse log
0.8016
far / silog
0.3050
far / sqrel
12.8254
image mean / log10
0.1655
image mean / mae
6.1804
mid / absrel
0.3425
mid / delta1
0.4032
mid / delta2
0.6819
mid / delta3
0.8377
mid / log10
0.1617
mid / mae
6.1118
mid / rmse
8.8328
mid / rmse log
0.4660
mid / silog
0.3701
mid / sqrel
4.7298
near / absrel
0.4698
near / delta1
0.3316
near / delta2
0.7232
near / delta3
0.9233
near / log10
0.1519
near / mae
3.3749
near / rmse
4.2795
near / rmse log
0.3960
near / silog
0.2063
near / sqrel
4.2802
image mean / rmse
9.6983
image mean / rmse log
0.4813
image mean / silog
0.4259
image mean / sqrel
5.2319
image median / absrel
0.3491
all / absrel
0.3489
all / delta1
0.3685
all / delta2
0.7029
all / delta3
0.8814
all / log10
0.1565
all / mae
5.8520
all / rmse
8.7359
all / rmse log
0.4629
all / silog
0.4144
all / sqrel
3.5836
image median / delta1
0.3684
image median / delta2
0.7021
image median / delta3
0.8790
far / absrel
0.4814
far / delta1
0.0271
far / delta2
0.2141
far / delta3
0.4878
far / log10
0.2989
far / mae
21.5540
far / rmse
23.5494
far / rmse log
0.7666
far / silog
0.2934
far / sqrel
12.1748
image median / log10
0.1576
image median / mae
5.9303
mid / absrel
0.3108
mid / delta1
0.4031
mid / delta2
0.7187
mid / delta3
0.8860
mid / log10
0.1481
mid / mae
5.7958
mid / rmse
8.3139
mid / rmse log
0.4380
mid / silog
0.3570
mid / sqrel
3.2822
near / absrel
0.3873
near / delta1
0.2801
near / delta2
0.8100
near / delta3
0.9881
near / log10
0.1410
near / mae
2.9317
near / rmse
3.3928
near / rmse log
0.3653
near / silog
0.1789
near / sqrel
1.5510
image median / rmse
8.9587
image median / rmse log
0.4695
image median / silog
0.4189
image median / sqrel
3.6548
pixel pool / absrel
0.3916
all / absrel
0.3907
all / delta1
0.3712
all / delta2
0.6779
all / delta3
0.8520
all / log10
0.1649
all / mae
6.2147
all / rmse
10.1601
all / rmse log
0.4945
all / silog
0.4910
all / sqrel
5.2379
pixel pool / delta1
0.3699
pixel pool / delta2
0.6758
pixel pool / delta3
0.8496
far / absrel
0.4544
far / delta1
0.1449
far / delta2
0.3437
far / delta3
0.5587
far / log10
0.2910
far / mae
21.5014
far / rmse
24.6849
far / rmse log
0.7918
far / silog
0.4690
far / sqrel
12.2138
pixel pool / log10
0.1659
pixel pool / mae
6.4214
mid / absrel
0.3333
mid / delta1
0.4134
mid / delta2
0.6963
mid / delta3
0.8517
mid / log10
0.1566
mid / mae
6.0501
mid / rmse
9.4049
mid / rmse log
0.4738
mid / silog
0.4442
mid / sqrel
4.6189
near / absrel
0.5050
near / delta1
0.3235
near / delta2
0.7047
near / delta3
0.9119
near / log10
0.1576
near / mae
3.4885
near / rmse
5.7969
near / rmse log
0.4598
near / silog
0.3541
near / sqrel
5.1976
pixel pool / rmse
10.9466
pixel pool / rmse log
0.4987
pixel pool / silog
0.4948
pixel pool / sqrel
5.3748